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   feature windows 的翻译结果: 查询用时:0.189秒
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feature windows
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  特征窗
     Study of Video Stabilization and Shot Boundary Detection Algorithm Based on Feature Windows Tracking
     基于特征窗跟踪的视频稳像和镜头检测算法研究
短句来源
     So feature windows tracking algorithm is systematically investigated firstly in thispaper, then the proposed algorithm extracts the corner-points as features by SUSANalgorithm and tracking these feature windows by fuzzy Kalman filtering.
     因此,本文首先系统研究了用于运动估计的特征窗跟踪算法,针对特征检测和特征跟踪两个子系统,分别采用SUSAN 准则用于二维角点特征提取和将模糊控制理论与经典Kalman 滤波相结合的模糊Kalman 滤波算法用于特征窗跟踪,提高了算法的精度和执行效率。
短句来源
     Afterresearching and analyzing the principle and some techniques of video stabilizationand shot boundary detection, the feature windows tracking algorithm is adopted withcombining some others measures and approaches.
     随后,在深入研究和分析了视频稳像和视频镜头边界检测的原理和各种算法的基础上,将特征窗跟踪算法作为基本方法,有效地结合一些其他测度,应用于这两个领域。
短句来源
     First, the proposed algorithm extracts the corner-points as feature from the specified reference frame. Then, based on the fuzzy Kalman filtering, the extracted features are tracked with window-matching method from the succeed frames. By registering the corresponding feature windows, the motion parameters of the camera can be calculated between the reference frame and succeed frames.
     该算法从视频序列的参考帧中提取出一组角点特征,然后在后续帧中基于模糊Kalman滤波进行特征窗跟踪,通过比较各帧图像中特征窗间的对应关系计算出补偿摄像机运动所必需的参数,使用这些参数将后续帧向参考帧对准,从而得到稳定的视频序列.
短句来源
  “feature windows”译为未确定词的双语例句
     gradient projection of special area is applied to extract the features in initial frame, then Kalman filter is adopted to forecast the position of features in followed frames which is renewed by gradient projection in small feature windows.
     运用肤色识别和椭圆近似方法进行人脸初步定位,并采用特定区域的Robinson梯度投影分析从初始帧提取人脸特征基点。
短句来源
     Use a fuzzy classification with dynamic size feature windows to recognize and extract vacuole nucleus.
     提出变尺寸特征窗口模糊分类法,对空泡状细胞核进行识别提取;
短句来源
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  feature windows
In this implementation the measurement vectors contains the image locations of all tracked feature windows in a new frame.
      


An ISAR object recognition system has been described. The feature extraction of ISAR object images is achieved by tow-dimensional FFT processing,and a square window which is located on the center of the spectrum is used for feasture selection, and the classifier of the system is a neaast neighher classifier.Through the experiments on ISAR object recognition,the effect of the feature window length on the system recognition rate has been investigated.The experimental results show that the featute...

An ISAR object recognition system has been described. The feature extraction of ISAR object images is achieved by tow-dimensional FFT processing,and a square window which is located on the center of the spectrum is used for feasture selection, and the classifier of the system is a neaast neighher classifier.Through the experiments on ISAR object recognition,the effect of the feature window length on the system recognition rate has been investigated.The experimental results show that the featute selection window with the low-Pass form is the optimum feature selection approch,and there is an optimum feature window length,which can be determined by the training sample set itself.

描述了一个ISAR目标识别系统,它以二维FFT处理实现对ISAR日标象的特征提取,以位于频谱中心的一个正方形窗口实现特征选择,系统的分类器是最近邻分类器.通过ISAR目标识别的仿真,实验研究了特征选择窗口的长度对系统识别率的影响.实验结果表明:低通形式的特征选择窗口是特征选择的最佳方案,而且存在一个最佳的特征窗口长度,这个最佳值可以由训练样本集自身确定出来.

Zhengzhou Jinniu group company computer network management information system is developed base on Windows environment and run in Novell network.It consist of eleven submodules.There are production management,financial affairs management,supply,market,human affairs,power and energy,technology,enterprise business,quality management,products design and leader inquire.Prototyping methodology is used in software development.This system have following features:windows graphics\|oriented interface,quickly...

Zhengzhou Jinniu group company computer network management information system is developed base on Windows environment and run in Novell network.It consist of eleven submodules.There are production management,financial affairs management,supply,market,human affairs,power and energy,technology,enterprise business,quality management,products design and leader inquire.Prototyping methodology is used in software development.This system have following features:windows graphics\|oriented interface,quickly form data or accoding to the tip of screen user select data input,sharing inquire program,easy maintain and expand.

在 Novell网络上运行,基于 Window s 环境开发的“郑州金牛(集团)股份有限公司网络综合管理信息系统”,由生产管理、财务管理、供应管理、销售管理、人事管理、动能管理、工艺管理、企业管理、质量管理、产品设计、领导查询等11 个子模块组成.该系统采用快速原型法进行软件开发,具有 Window s 风格界面、快速生成数据或根据屏幕提示选择式输入数据、共享查询应用程序以及易于维护和扩充等特点.

A novel object tracking algorithm based on mesh model is proposed to perform accurate object tracking while occlusion problem exists. Occlusion detection is done first, and then mesh nodes motion estimation and mesh update are carried to achieve object tracking in several frames. An improved occlusion detection method is applied to enhance the detection precision. Mesh nodes motion estimation is performed through feature window motion compensation matching, which can overcome block artifacts. Experimental...

A novel object tracking algorithm based on mesh model is proposed to perform accurate object tracking while occlusion problem exists. Occlusion detection is done first, and then mesh nodes motion estimation and mesh update are carried to achieve object tracking in several frames. An improved occlusion detection method is applied to enhance the detection precision. Mesh nodes motion estimation is performed through feature window motion compensation matching, which can overcome block artifacts. Experimental results indicate that the proposed algorithm can solve occlusion problems existed in 2D motion estimation, and can accurate track object effectively.

提出一种基于网格模型的目标跟踪算法 该算法首先进行遮挡区域检测 ,然后进行网格结点的运动估计和网格更新过程完成目标的多帧跟踪 改进的遮挡区域检测算法有效地提高了检测准确度 ,从而确保遮挡区域的准确跟踪 ;网格结点的运动估计是通过特征窗口运动补偿匹配完成 ,可以有效地克服块效应 实验证明 ,该算法解决了二维运动估计时网格模型在遮挡区域存在的问题 ,并可以有效地进行目标准确跟踪

 
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